Plant Interaction Protein Screening Service Based on MS

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Plant Interaction Protein Screening Service Based on MS

CD BioSciences has extensive protein database resources for screening and characterization of interacting proteins. We provide clients with screening services on interacting proteins based on COIP-MS, TAP-MS, BioID-MS, and SILAC-IP-MS, providing a one-stop service for revealing protein functions and studying plant biological processes.

Proteins in plants are the executors of molecular functions, regulating all biological systems in cells. However, they do not work alone, and most functional proteins interact with other proteins to regulate life processes together. Therefore, screening interacting proteins is significant for studying plant protein function.

Service Content

COIP-MS service

COIP-MS service

We provide clients with COIP-MS based on antigen-antibody immunoreaction, using mass spectrometry to identify proteins that interact with antigens. The proteins identified by COIP-MS are naturally interacting with the baits in the cell, which is consistent with the real physiological situation in vivo, and has a high degree of confidence. However, it is not possible to determine whether the proteins identified by COIP-MS directly interacted with the bait.

TAP-MS service

TAP-MS service

Our TAP/MS service provides two purification labels for two-step purification. It can more effectively purify bait proteins and complexes in the lysate, and reduce the number of non-specific binding proteins, facilitating the screening and validation of interaction proteins later. However, two-step purification may result in the inability to identify some weakly binding proteins.

BioID-MS service

BioID-MS service

We provide the BioID-MS which is a proximity-dependent biotin labeling technology. Minimize the damage to cell viability when conducting PPI testing in a natural cellular environment. By modifying the length of the fusion protein junction, the detection range can be adjusted, which has great advantages in detecting low-abundance proteins.

SILAC-IP-MS service

SILAC-IP-MS service

We use the SILAC assay to label proteins with non-radioactive isotopes before CoIP experiments. The SILAC technique identifies the complex proteins and detects the protein's relative content. It has strong specificity and low false positives, making it suitable for passable cells, especially those that are prone to transgenic transformation.

Materials to be Provided by Clients

Gene sequence

Expression plasmid

Plant tissues or lysates containing bait proteins and prey proteins > 5ml.

Delivery Reports

Silver-stained gel images of protein eluates.

Mass spectrometry raw data and analysis results.

Protein-protein interaction (PPI) network diagrams.

Detailed experimental procedures, instruments used, reagent sources, software search parameters, etc.

CD BioSciences is a biological company specializing in plant proteins, providing mass spectrometry-based screening of plant-interacting proteins. We are dedicated to unraveling the complex network of protein-protein interactions in plants. With our cutting-edge mass spectrometry facilities and proteomics technologies, we can screen and characterize plant-interacting proteins in high throughput. If you are interested in our services, please contact us for more details.

References

  1. Chen, R., et al. (2016). Identification of a novel mitochondrial interacting protein of C1QBP using subcellular fractionation coupled with CoIP-MS. Analytical and bioanalytical chemistry. 408(6), 1557-1564.
  2. Adelmant, G., et al. (2019). Tandem Affinity Purification and Mass Spectrometry (TAP-MS) for the Analysis of Protein Complexes. Current protocols in protein science. 96(1), e84.
  3. Sears, R. M., et al. (2019). BioID as a Tool for Protein-Proximity Labeling in Living Cells. Methods in molecular biology (Clifton, N.J.). 2012, 299-313.
  4. Pateetin, P., et al. (2021). Author Correction: Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer. Scientific data. 8(1), 145.

For research use only, not for clinical use.